Foundation models are revolutionizing robotics, but their non-deterministic nature prevents deployment in safety-critical environments.
Sim-to-Real Gap: Models that work perfectly in simulation fail unpredictably in the physical world.
Perception Hallucinations: Camera glare, weather, or sensor saturation can cause the AI to hallucinate safe paths, leading to collisions.
Regulatory Blockers: You cannot certify a black box. Current regulations require deterministic bounds.
State16 wraps your black-box World Model in a mathematical, physics-aware envelope. It intercepts unsafe commands before actuation, executing graceful degradation to verified physics-based dead-reckoning.